Positioning Against AI Intermediaries and Proof Audits: B2B

The first strategic approach is to stop describing the product as something a human buys and start describing it as something an AI agent consumes. The logic is straightforward: if a meaningful share of discovery, comparison, and even purchase research now runs through assistant interfaces, then the vendor's most valuable surface is not the demo page but the machine-readable representation of its claims. A company that owns the format in which agents receive and verify content owns a position that is hard to displace, because the buyer's tooling, not the buyer's taste, becomes the switching cost. The signal about the buyer is that they are no longer the primary reader of the marketing site. Their agent is.

Scrunch AI is the clearest illustration. Its homepage and product pages frame the platform around 'Agent Pages' content delivery to AI agents, with an Agent Experience Platform (AXP) presented as the underlying layer, and the whole story organized as an Observe, Optimize, Deliver workflow. That is a three-stage operating model, not a feature list, and it positions the product as the delivery layer between a brand's content and the assistants that summarize it. The trade-off is real: AXP is a category the buyer has not budgeted for, so the vendor must simultaneously sell the problem and the product. It works when the buyer already sees assistant-mediated traffic in their analytics and fails when they do not.

The same repositioning instinct shows up in how vendors name their releases. Zip runs a banner across both zip.com and zip.com/about reading 'Zip Forward 2026: Smarter agents, richer context. See what's new', linking to its announcements post, with 'Integrations' promoted into the nav. The word 'agents' is doing the positioning work here, and 'richer context' is the claim about why the product matters to them. Note what this is not: it is not a pricing change or a new tier. It is a narrative bet that the buyer's mental model now includes agents as a category of user, and that a vendor seen as agent-aware is seen as current.

Mentionable takes the most direct route, leading its English-language homepage with 'What if ranking in ChatGPT became simple?' and a title tag reading 'Are you cited by ChatGPT? Track your AI visibility', pitching daily tracking of brand citations across 7 AI engines. The specificity matters: 7 engines and daily cadence are the two numbers that make the claim checkable. This is a French-market tool running an English-first storefront, which is itself a positioning decision, and it is the kind of move worth tracking through the marketing intelligence hub because it shows how a niche measurement category gets named before it gets standardized.

When does agent-facing repositioning work? When three conditions hold: the buyer can observe the problem in their own data, the vendor can name a workflow rather than a feature, and the category has a natural measurement. Scrunch has the workflow, Mentionable has the measurement, Zip has the narrative. The trade-off across all three is the same. You are renting urgency from a category that is still forming, and if the assistant interfaces consolidate or change their retrieval behavior, the positioning needs to be rebuilt. The companies that survive this approach are the ones whose workflow survives a change in which engine is winning.

The competitive read for anyone watching this space: repositioning toward agents is currently a differentiation play, not a pricing play. None of these moves changed a price, a tier, or a credit model. That is the tell. When a category is still being defined, vendors compete on framing because there is no established price anchor to compete on. Expect the pricing contest to follow once the framing settles.

The second approach is subtraction. Where agent-facing repositioning adds a new frame, category-language simplification removes one, on the theory that a narrower-sounding category label costs more in excluded buyers than it gains in precision. The buyer signal here is important: a prospect arriving from a search result or an assistant summary has seconds to decide whether the page is about their problem, and a category noun like 'Platform' asks them to do interpretive work. Removing it shifts the page from taxonomy to outcome.

Volopay made exactly this move, dropping the word 'Platform' from its homepage headline so that 'Expense Management Platform For All Business Needs' became 'Expense Management For All Business Needs'. It also revised and repositioned the feature and benefit table titled 'Why businesses prefer Volopay'. Two changes, one direction: less category, more claim. The percentage here is not a price change but a scope change. By removing the platform framing, the page stops implying a suite purchase and starts implying a job to be done, which widens the top of the funnel to buyers who are not yet shopping for a platform.

This is a well-established pattern and it is worth being precise about when it works. It works when the category noun has become commoditized, meaning every competitor uses it and it therefore carries no information. It fails when the noun is the search term. A buyer searching for a spend management platform is using the word, and stripping it from the headline can cost relevance even as it gains clarity. The resolution most vendors reach is to keep the noun in the title tag and metadata while removing it from the human-facing headline, which is roughly the structure Volopay now runs.

The trade-off is measurable in a way that agent repositioning is not. You can test headline variants against demo request rate and against branded versus non-branded search mix. If non-branded traffic converts better after the simplification, the subtraction paid for itself. If branded traffic holds and non-branded falls, you removed a word the market was actually using. Volopay's simultaneous revision of the 'Why businesses prefer Volopay' section suggests the company is treating the whole page as a single argument rather than a set of independent modules, which is the more sophisticated version of this play.

Compare this with the additive approach. Scrunch AI adds a category (Agent Experience Platform), Mentionable adds a question ('What if ranking in ChatGPT became simple?'), and Volopay subtracts a word. All three are the same underlying discipline: deciding what the buyer needs to read first. The difference is that subtraction is cheaper to test and easier to reverse, which makes it the lower-risk move for a company that is not certain where its buyer's attention has moved. For a marketing leader, the sequencing implication is clear. Simplify the category language first, measure, and only then invest in a new category frame.

The third approach treats the homepage not as a static description of the product but as the top of a funnel pointed at a single dated event. The strategic logic is that a launch, a conference, or a roadmap release creates a legitimate reason for a returning visitor to act now, and that a homepage without a deadline is a homepage that generates no urgency. The buyer signal is that the vendor believes its existing traffic is under-monetized, that people arrive, read, and leave without a next step, and that a dated hook converts that passive attention into a measurable click.

Zip is running this play in its purest form. Both zip.com and zip.com/about carry the banner 'Zip Forward 2026: Smarter agents, richer context. See what's new', linking to /blog/zip-forward-2026-announcements. The homepage diff records 4 changed sections and the About page 1, which tells you the banner is not a decorative strip but part of a coordinated page update. The nav also lists 'Integrations', which is the substantive claim behind 'richer context': the product connects to more of the systems an agent would need to read. The banner is the hook, the integrations are the substance, and the blog post is the conversion surface.

What makes this approach work is the discipline of the destination. A banner that links to a generic blog index is a wasted click. A banner that links to a specific announcements post with a named theme ('Smarter agents, richer context') gives the visitor a reason to believe there is something to see. The trade-off is that the homepage becomes dated. A visitor arriving in three months sees a banner for an event that has passed, and the page reads as stale unless someone remembers to rotate it. This is an operational cost that most companies underestimate, and it is why event banners tend to persist well past their relevance.

There is a second-order benefit that is easy to miss. A dated announcement gives the sales team a reason to re-open dormant conversations, and it gives the content team a theme to organize a quarter of material around. Zip's theme, agents plus context, is broad enough to support multiple posts and specific enough to be a claim. That is the right shape for an event narrative: a phrase that can be repeated without becoming meaningless.

When should a company adopt this approach? When it has a genuine release cadence and the operational capacity to rotate the hook. When it does not, the banner becomes evidence of neglect rather than momentum. The comparison worth making is with Volopay's approach in the previous section: Volopay revised a permanent section of the page, which has no expiry, while Zip installed a dated banner, which has a short life and a higher peak. Permanent revision compounds slowly. Event funnels spike and decay. Most mature marketing organizations need both, and the sequencing question is which one the current quarter can support.

The fourth approach is a localization bet: a vendor with a home-market advantage chooses to run its storefront in English first, targeting the largest pool of buyers searching for a new measurement category. The logic is that category-defining search volume concentrates in English, and that a vendor who ranks for the category question in English captures the buyers who are actively looking, regardless of where the vendor is based. The buyer signal is that the vendor believes the category is being defined right now, in English, by buyers who are comparing tools for the first time.

Mentionable is the case. It is a French-market tool, and its homepage now serves English-language copy headlined 'What if ranking in ChatGPT became simple?', with a title tag reading 'Are you cited by ChatGPT? Track your AI visibility'. The positioning is daily tracking of brand citations across 7 AI engines. Three specifics carry the claim: daily cadence, 7 engines, and citations as the unit of measurement rather than rankings or mentions. Those are the numbers a buyer can test against their own experience, which is what makes the page credible despite the category being new.

The strategic reasoning behind English-first is sound and worth stating plainly. If the category is citation tracking, then the buyers most likely to search for it are the ones already seeing assistant-referred traffic in their analytics, and those buyers are disproportionately searching in English. Running the storefront in English first is not a rejection of the home market. It is a sequencing decision that puts the vendor in front of the largest comparison set while the category is still unformed, when being one of three named options matters more than being the default in one country.

The trade-off is home-market differentiation. A French buyer arriving at an English-only page has to do translation work, and a competitor running native-language copy with local case studies will feel more relevant. The mitigation is usually a language toggle and localized proof, neither of which is visible in the evidence here. The other risk is that the English-first page competes in the most crowded part of the category, where the largest incumbents also publish. A vendor with a genuine home-market advantage may find that the English storefront generates attention but not conversion.

How should a marketing leader evaluate this move? Look at whether the category question is being asked in English at volume, whether the vendor has a differentiated measurement (Mentionable's 7 engines and daily cadence qualify), and whether the home market is large enough to sustain the business while the English storefront matures. If all three hold, English-first is a reasonable bet. If the home market is the only market with budget, it is a distraction. The comparison tooling for this category is already being built out, and buyers comparing agent-visibility vendors can start with Scrunch AI vs Profound to see how the positioning differs across the set.

The fifth approach abandons the seat model entirely and sells a menu of outcomes. The logic is that some categories have a software budget line that is small and a services budget line that is large, and that a vendor selling seats competes against every tool in the category while a vendor selling outcomes competes against agencies and internal headcount. The buyer signal is that the buyer has already tried software and found that the tool did not produce the result, so they are now shopping for the result directly.

Forecastable is the clearest example. Its homepage tagline is 'Partner-sourced pipeline, as a service', with the positioning slogan 'We make partner programs produce.' The program menu is explicit and unusually granular: Build or Rebuild, Accelerate, Partner-Sourced Pipeline, Post-Acquisition Cross-Sell, Staffing and Recruiting, and Platform program. Six named programs, each a discrete engagement rather than a feature. The company is positioning above PRMs and co-sell tools, which is a deliberate choice to be compared with services rather than software. The word 'produce' in the slogan is the whole argument: the buyer does not want a partner program, they want pipeline from it.

This approach works when three conditions hold. First, the outcome is measurable and attributable, which partner-sourced pipeline is. Second, the buyer's internal capability is genuinely insufficient, which is common in partner programs that were launched and then neglected. Third, the vendor can staff the work, which is why 'Staffing and Recruiting' appears as a program rather than an afterthought. When those conditions hold, the vendor escapes the seat-price comparison entirely and prices against the value of the pipeline, which is a much larger number.

The trade-off is severe and worth stating directly. Services revenue does not compound the way seat revenue does. Every engagement must be sold again, delivery capacity constrains growth, and the margin structure is closer to consulting than to software. A vendor that moves from seats to services trades recurring expansion for higher contract value and lower scalability. The mitigation is productization, which is what the named program menu is for: a fixed set of offerings with defined scope is more scalable than custom work, even if it is less scalable than software.

For a product leader, the diagnostic question is whether the buyer's failure with existing tools is a tooling problem or a capability problem. If it is tooling, sell software. If it is capability, sell the outcome and use software as the delivery mechanism. Forecastable's menu suggests the company believes partner programs fail on capability, not on tooling, and the six-program structure is the bet that buyers will pay for someone to run the program rather than for a better dashboard. That is a defensible position in a category where the software has been commoditized.

The sixth approach is defensive and increasingly common: auditing the proof claims on the trust page and removing the ones that cannot be substantiated. The logic is that a single challengeable number undermines every other claim on the page, and that in a market where buyers and their assistants now verify assertions, an unverifiable figure is a liability rather than an asset. The buyer signal is that the buyer is checking, and that the vendor knows it.

Rho's trust page shows the move precisely. The bank-assets row now reads 'Varies by partner bank' in place of the figure '$327B (per Santander at close, 8/20/2026)', and the comparison describing a partner as 'roughly 37x the next-largest deposit partner bank' was removed. The replacement line is 'a national charter with nearly a century of operating history', which is a claim about durability rather than size. Two numbers out, one qualitative claim in. That is a deliberate trade: the vendor gave up a large, specific, dated figure and a dramatic multiple in exchange for a statement that cannot be picked apart.

Why would a company do this? Because the removed figures carried an expiry date and a dependency. A bank-assets number tied to a specific close date becomes stale the moment the balance sheet moves, and a '37x' comparison invites the buyer to check the denominator. In a category where trust is the product, a claim that fails verification is worse than no claim, because it retroactively discredits the surrounding assertions. The replacement, 'nearly a century of operating history', is checkable and stable, which is exactly what a trust page needs.

The trade-off is that the page loses its most impressive line. A '$327B' figure is a stronger first impression than 'varies by partner bank', and some buyers will read the vaguer line as a downgrade. The mitigation is to replace the number with a different kind of proof, which is what the operating-history line attempts. Whether it works depends on whether the buyer's question is 'how big is your balance sheet' or 'will you still be here in ten years'. For a deposit partner, the second question is the one that matters.

This approach is worth watching because it is the leading indicator of a broader shift. When vendors start removing numbers rather than adding them, it means the buyer's verification behavior has changed. The same discipline applies to product claims: a vendor that publishes a specific figure should be able to show the source, the date, and the method. Rho's audit is a model for how to do the removal cleanly, replacing rather than deleting, and it is the kind of move that gets noticed by buyers who are already skeptical.

The seventh approach is structural rather than narrative: organize the homepage around a small number of named service pillars so that the buyer can self-select into the one that matches their need. The logic is that enterprise buyers search for a discipline, not a product, and that a page organized by discipline matches the query pattern. The buyer signal is that the buyer is comparing firms on scope and credibility rather than on features, which is characteristic of services purchases.

Sedulo Group's homepage is the illustration. The heading reads 'COMPETITIVE INTELLIGENCE, MARKET INTELLIGENCE, & STRATEGY CONSULTING', three named pillars in a single line, with the hero tagline 'Intelligence you can trust. Strategy you can act on.' Below that, an outcome section titled 'Win the moments that matter most' lists Product Launches, Competitor Moves, and Market Entry. The structure is doing real work: three disciplines at the top, three moments below, and a tagline that pairs trust with action. A buyer searching for competitive intelligence, market intelligence, or strategy consulting lands on a page that names their query in the first line.

This is a different game from the product-led approaches in the earlier sections. Sedulo is not selling a tier or a credit model. It is selling a firm, and the page is built to establish scope and credibility in the first screen. The three-pillar structure also functions as a routing mechanism: a buyer who needs market entry work knows immediately which pillar applies, and a buyer who needs competitor monitoring knows the same. That reduces the qualification burden on the first call.

The trade-off is that pillar framing blurs the line between product and service. A buyer who wants a monitoring tool may not realize the firm also offers one, and a buyer who wants a tool may not think to look at a consulting page. The mitigation is usually a separate product page linked from the relevant pillar, which is not visible in the evidence here. The other risk is that three pillars read as three practices, and a firm that does three things can be perceived as less deep than a firm that does one.

When does pillar framing work? When the buyer's search behavior is discipline-first, when the firm genuinely has depth in each pillar, and when the pillars share a common method. Sedulo's tagline suggests the shared method is intelligence-to-action, which is what holds the three together. Without that thread, three pillars become three businesses. For a marketing leader in a services-adjacent category, the lesson is that the homepage structure should mirror the buyer's query structure, and that the tagline should name the method that connects the pillars rather than the pillars themselves.

The seven approaches above are not equally applicable to every company, and the first decision is diagnostic. Ask whether your buyer's attention has moved to an assistant interface, whether your category noun has become commoditized, whether your traffic is under-monetized, whether your category is being defined in English, whether your buyer has failed with tools and now wants outcomes, whether your proof claims are verifiable, and whether your buyer searches by discipline. Each yes points to a specific approach. Most companies will find two or three yeses, and the sequencing question is which one to run first.

The second decision is about cost of reversal. Subtraction moves like Volopay's headline change are cheap to test and easy to undo, which makes them the right first experiment. Additive repositioning like Scrunch AI's Agent Experience Platform is expensive to build and hard to walk back, so it should follow evidence rather than precede it. Event funnels like Zip's banner are cheap to install and expensive to maintain, which means they should be adopted only when the release cadence is real. Services menus like Forecastable's six programs are a structural commitment that changes the revenue model, and trust-page audits like Rho's are a one-way door on the removed claims.

The third decision is about proof. Every approach in this set depends on a specific, checkable number. Mentionable's 7 engines and daily cadence, Forecastable's six named programs, Rho's replacement of a dated figure with a stable one, Sedulo's three pillars and three moments. The companies that will hold their positions are the ones that can show the source behind the claim. If you cannot show the source, remove the claim, which is what Rho did and what every vendor with a stale figure should do before a buyer or an assistant checks it.

The fourth decision is about category timing. Agent-facing repositioning and citation tracking are early-category plays, which means the framing contest is still open and the pricing contest has not started. None of the seven companies changed a price, a tier, or a credit model in this evidence set. That is the signal to watch. When the first vendor in this set introduces a consumption credit or a named tier for agent-delivered content, the category has moved from framing to monetization, and the positioning work becomes a pricing problem. Until then, the competitive advantage belongs to whoever names the category most clearly.

For a marketing leader, the practical sequence is: audit your proof claims first, because a false number undermines everything else. Then simplify your category language and measure. Then decide whether your buyer's attention has moved enough to justify an additive repositioning. Then decide whether your revenue model should follow the buyer's budget line into services. The companies in this set are running these moves in different orders, and the ones that will look prescient in twelve months are the ones that ran the audit before the repositioning. The category comparison work is already underway across the set, and the Scrunch AI signal spotlight is a useful starting point for seeing how one vendor's framing has evolved.